{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n",
      "/home/datalab/ex_disk2/hanbing/py36/lib/python3.6/site-packages/classification_models/resnext/__init__.py:4: UserWarning: Current ResNext models are deprecated, use keras.applications ResNeXt models\n",
      "  warnings.warn('Current ResNext models are deprecated, '\n"
     ]
    }
   ],
   "source": [
    "from albumentations import *\n",
    "import os\n",
    "import cv2\n",
    "from tqdm import tqdm\n",
    "import numpy as np\n",
    "from data_loader import *\n",
    "import matplotlib.pyplot as plt\n",
    "from segmentation_models import Unet\n",
    "%matplotlib inline\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"0\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 数据增强库测试\n",
    "- 读取图像\n",
    "- 可视化图像"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def visualize(image, mask, original_image=None, original_mask=None):\n",
    "    fontsize = 18\n",
    "    \n",
    "    if original_image is None and original_mask is None:\n",
    "        f, ax = plt.subplots(2, 1, figsize=(8, 8))\n",
    "\n",
    "        ax[0].imshow(image)\n",
    "        ax[1].imshow(mask)\n",
    "    else:\n",
    "        f, ax = plt.subplots(2, 2, figsize=(8, 8))\n",
    "\n",
    "        ax[0, 0].imshow(original_image[:,:,::-1])\n",
    "        ax[0, 0].set_title('Original image', fontsize=fontsize)\n",
    "        \n",
    "        ax[1, 0].imshow(original_mask)\n",
    "        ax[1, 0].set_title('Original mask', fontsize=fontsize)\n",
    "        \n",
    "        ax[0, 1].imshow(image[:,:,::-1])\n",
    "        ax[0, 1].set_title('Transformed image', fontsize=fontsize)\n",
    "        \n",
    "        ax[1, 1].imshow(mask)\n",
    "        ax[1, 1].set_title('Transformed mask', fontsize=fontsize)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "aug = Compose([Resize(height=256,width=256,interpolation=cv2.INTER_NEAREST),\n",
    "               RandomRotate90(p=0.5),\n",
    "              VerticalFlip(p=0.5),\n",
    "              HorizontalFlip(p=0.5),\n",
    "              ChannelShuffle(p=0.5),\n",
    "              HueSaturationValue(p=0.5),\n",
    "              RandomBrightnessContrast(0.5),\n",
    "              Transpose(p=0.5)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "img shape: (110, 148, 3) mask shape: (110, 148)\n"
     ]
    }
   ],
   "source": [
    "img = cv2.imread('/home/hanbing/datasets/segmentation/facecutimg/srcimg/2500_100_rect0.jpg')\n",
    "mask = cv2.imread('/home/hanbing/datasets/segmentation/facecutimg/maskimg/2500_100_rect0.png',0)\n",
    "print('img shape:',img.shape,'mask shape:',mask.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "augmented = aug(image=padding(img), mask=padding(mask))\n",
    "\n",
    "image_padded = augmented['image']\n",
    "mask_padded = augmented['mask']\n",
    "\n",
    "visualize(image_padded, mask_padded, original_image=img, original_mask=mask)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 测试数据生成器是否正常\n",
    "- 采样函数\n",
    "- 输出batch数据的某一张"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "train,val = GetSampling('/home/hanbing/datasets/segmentation/skin_segmentation/image_head/',\n",
    "                       '/home/hanbing/datasets/segmentation/skin_segmentation/mask_skin_head/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "aug = Compose([Resize(height=128,width=128,interpolation=cv2.INTER_AREA),\n",
    "               RandomRotate90(p=0.5),\n",
    "              VerticalFlip(p=0.5),\n",
    "              HorizontalFlip(p=0.5),\n",
    "\n",
    "              HueSaturationValue(p=0.5),\n",
    "              RandomBrightnessContrast(0.5),\n",
    "              Transpose(p=0.5)])\n",
    "data = DataLoader(train, 2, aug, 16)\n",
    "data = iter(data)\n",
    "imgs, masks = next(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "f, ax = plt.subplots(1, 2, figsize=(8, 8))\n",
    "ax[0, 0].imshow((imgs[0]*255).astype('uint8'))\n",
    "ax[0, 1].imshow(np.argmax(masks[0],axis=-1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 训练结束后测试模型结果\n",
    "- 加载模型\n",
    "- padding，使得可以无形变resize\n",
    "- 读取图片，预处理\n",
    "- 显示测试结果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def padding(img):\n",
    "    shape = img.shape\n",
    "    h, w = shape[:2]\n",
    "    width = np.max([h, w])\n",
    "    padd_h = (width - h) // 2\n",
    "    padd_w = (width - w) // 2\n",
    "    if len(shape) == 3:\n",
    "        padd_tuple = ((padd_h,width-h-padd_h),(padd_w,width-w-padd_w),(0,0))\n",
    "    else:\n",
    "        padd_tuple = ((padd_h,width-h-padd_h),(padd_w,width-w-padd_w))\n",
    "    img = np.pad(img, padd_tuple, 'constant')\n",
    "    return img "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Unet('resnet34', encoder_weights='imagenet',\n",
    "                input_shape=(256, 256, 3),\n",
    "                classes=1,\n",
    "                activation='sigmoid')\n",
    "model.load_weights('weights/20190225_res34_cce_dic.h5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 测试单张结果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "img = cv2.imread('../../../datasets/segmentation/skin_segmentation/koutu/person_face/00177.jpg')\n",
    "img = padding(img)\n",
    "img = cv2.resize(img,(256,256))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "result=model.predict(np.expand_dims(img[:,:,::-1],axis=0) / 255.0)\n",
    "result[result>=0.5] = 1\n",
    "result[result<0.5] = 0\n",
    "re = np.squeeze(result).astype('uint8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "cv2.addWeighted(img, 1,  cv2.merge([re*128,re*255,re*128]), 0.5, 0, img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.imshow(img[:,:,::-1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 批量测试结果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = '/home/hanbing/datasets/segmentation/skin_segmentation/koutu/person_face/'\n",
    "result = '/home/datalab/ex_disk2/hanbing/data/segmentation/skin_segmentation/result/'\n",
    "files = [os.path.join(path,i) for i in os.listdir(path) if not i[0]=='.']\n",
    "print('共有 %d 张测试图片' % len(files))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for name in tqdm(files):\n",
    "    img = cv2.imread(name)\n",
    "    img = padding(img)\n",
    "    img = cv2.resize(img,(256,256),interpolation=cv2.INTER_AREA)\n",
    "    \n",
    "    prediction=model.predict(np.expand_dims(img[:,:,::-1],axis=0) / 255.0)\n",
    "    # prediction = np.argmax(prediction,axis=-1)[0].astype('uint8')\n",
    "    prediction[prediction>=0.5] = 1\n",
    "    prediction[prediction<0.5] = 0da\n",
    "    prediction = np.squeeze(prediction).astype('uint8')\n",
    "    img = cv2.addWeighted(img, 1,  cv2.merge([prediction*128,prediction*255,prediction*128]), 0.5, 0)\n",
    "    cv2.imwrite(os.path.join(result,os.path.basename(name)),img)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# face alignment\n",
    "接下来是进行人脸关键点检测，测试效果，方便扣掉眼睛和嘴巴对皮肤的干扰"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import cv2\n",
    "import time\n",
    "import face_alignment\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fa = face_alignment.FaceAlignment(face_alignment.LandmarksType._2D, device='cuda:0', face_detector='sfd')\n",
    "de = face_alignment.detection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = '/home/hanbing/work/segmentation/skin/test/image/'\n",
    "pics = [os.path.join(path,name) for name in os.listdir(path)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "for pic in pics:\n",
    "    img = cv2.imread(pic)\n",
    "    img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
    "    try:\n",
    "        begin = time.time()\n",
    "        predss = fa.get_landmarks(img)\n",
    "        end = time.time()\n",
    "        print('耗时 %.4f' % (end - begin))\n",
    "        fig = plt.figure(figsize=plt.figaspect(.5))\n",
    "\n",
    "        ax = fig.add_subplot(1, 1, 1)\n",
    "        ax.imshow(img)\n",
    "        for i in range(len(predss)):\n",
    "            preds = predss[i]\n",
    "            ax.plot(preds[0:17,0],preds[0:17,1],marker='o',markersize=2,linestyle='-',color='w',lw=2)\n",
    "            ax.plot(preds[17:22,0],preds[17:22,1],marker='o',markersize=2,linestyle='-',color='w',lw=2)\n",
    "            ax.plot(preds[22:27,0],preds[22:27,1],marker='o',markersize=2,linestyle='-',color='w',lw=2)\n",
    "            ax.plot(preds[27:31,0],preds[27:31,1],marker='o',markersize=2,linestyle='-',color='w',lw=2)\n",
    "            ax.plot(preds[31:36,0],preds[31:36,1],marker='o',markersize=2,linestyle='-',color='w',lw=2)\n",
    "            ax.plot(preds[36:42,0],preds[36:42,1],marker='o',markersize=2,linestyle='-',color='w',lw=2)\n",
    "            ax.plot(preds[42:48,0],preds[42:48,1],marker='o',markersize=2,linestyle='-',color='w',lw=2)\n",
    "            ax.plot(preds[48:60,0],preds[48:60,1],marker='o',markersize=2,linestyle='-',color='w',lw=2)\n",
    "            ax.plot(preds[60:68,0],preds[60:68,1],marker='o',markersize=2,linestyle='-',color='w',lw=2) \n",
    "        ax.axis('off')\n",
    "        fig.savefig('result/{}'.format(os.path.basename(pic)))\n",
    "    except:\n",
    "        print(pic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
